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Projects

Crop Recommendation System
Crop Recommendation System

A machine learning-based crop recommender system that recommends the most suitable crop to grow based on soil and environmental conditions.

  • Tools: FastAPI, Python, scikit-learn, XGBoost, pandas, Jupyter Notebook, LabelEncoder
  • Recommends suitable crops using soil and environmental conditions.
Energy Prediction App
Energy Consumption Prediction

A machine learning application that predicts energy consumption based on environmental sensor inputs.

  • Tools: pandas, NumPy, CSS, matplotlib, seaborn
  • Predicts energy usage from sensor and environmental data using trained ML models.
  • Frontend built with React; backend powered by FastAPI.
Paddy Leaf Disease Detection
Paddy Leaf Disease Classification

A deep learning application that classifies diseases in rice leaves using image-based analysis.

  • Tools: TensorFlow, FastAPI, pandas, NumPy, Python, Jupyter
  • Uses CNNs to identify visual disease features from leaf images.
  • Returns the classified disease result with confidence.
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